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All Skills

Total 53,711 skills, AI & Machine Learning has 8936 skills

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Showing 12 of 8936 skills

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AI & Machine Learningfellowship-dev/dogfooded-...

migrate-skill

Use when consolidating a skill from a claude-toolkit plugin or local .claude/skills into the dogfooded-skills library.

🇺🇸|EnglishTranslated
6
AI & Machine Learningceligo/ai

configuring-ai-agents

Configure Celigo AI agent and guardrail imports -- LLM-powered steps that classify, extract, validate, or generate data within flows. Use when creating agent imports (OpenAI, Gemini), guardrails (PII, moderation), or configuring prompts, structured output, or BYOK connections.

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6
AI & Machine Learningdrgarbage/ag-course-index

ai-agent-ui-support

Design and integration guidance for adding a reusable AI Agent chat interface to an existing web application. Use when adding an embedded AI assistant, chat view, multimodal input, speech-to-text, session history, long-task execution UI, Agent activity states, provider/model settings, or Tool / Function Calling support. The Agent is a supporting interface for the existing application rather than the application's primary UI.

🇺🇸|EnglishTranslated
6
AI & Machine Learningtigrisdata/skills

tigris-agent-kit

Use when building AI agent storage workflows on Tigris — forks for isolated dataset copies, workspaces for per-agent buckets with TTL, checkpoints for snapshot/restore, and coordination for event-driven pipelines via bucket webhooks. Triggers on "@tigrisdata/agent-kit", "agent storage", "agent workspace", "agent fork", "isolated agent environment", "checkpoint and restore", "bucket webhook", "multi-agent pipeline"

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6
AI & Machine Learningamelnagdy/delegate-skills

delegate-setup

Configure delegation fleet lanes: which implementer CLI handles which kind of work, with optional model and effort (or variant) dials. Discovers installed CLIs, proposes a lane map for user approval, and writes global or project config only after explicit yes. Use when the user asks to set up, configure, or reconfigure delegation lanes, a fleet of lanes, or which implementer handles feature/tests/ui work — not for dispatching a coding task to an implementer.

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6
4 scripts/Checked
AI & Machine Learningimplict-ch/huawei-campus-...

hw-interview

Mock Interview Assistant. Conduct mock interviews based on your resume. Triggers: /hw-interview, Resume Mock Interview, Generate interview questions based on resume.

🇨🇳|ChineseTranslated
6
AI & Machine Learningfandhe-ai/agent-cli-skill...

init-claude

任意の対象リポジトリに Claude Code の .claude/ 体系(CLAUDE.md・Agents・Rules・Skills・hooks)を 初期セットアップする。「claude セットアップして」「.claude 作って」「CLAUDE.md 初期化」「Agent 整備して」 「claude-code セットアップ」などで使用。既存 .claude/ の差分充実は update-claude を使用。 implement-issue-tree が動く前提(gh auth / sub_issues / workflow js)の整備まで含む。

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6
AI & Machine Learningaradotso/ai-agent-skills

awesome-adaptation-agentic-ai

Curated research collection on adaptation strategies for agentic AI systems, covering agent and tool adaptation methods with RL, SFT, and DPO approaches

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6
AI & Machine Learningaradotso/ai-agent-skills

datawhale-agent-learning-hub

AI Agent learning roadmap and curated resources for building production-ready agents with modern patterns like Claude Code, OpenClaw, skills, MCP, and evaluation

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6
AI & Machine Learningpydantic/skills

pydantic-ai-harness

Extend Pydantic AI agents with batteries-included capabilities from pydantic-ai-harness — currently Code Mode, which collapses many tool calls into one sandboxed Python execution. Use when the user mentions pydantic-ai-harness, CodeMode, Monty, code mode, or tool sandboxing, when they want an agent to run agent-written Python, or when a Pydantic AI agent would benefit from orchestrating multiple tool calls in a single sandboxed script.

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6
AI & Machine Learningfearvox/multica-ultimate-...

workbench-capy-git-dialogue-guardrails

Source-first, self-loop resistant guardrails for Capy GitHub dialogue responders before any write-capable PR, issue, or review action.

🇺🇸|EnglishTranslated
6
AI & Machine Learninggoogle-gemma/gemma-skills

gemma-dev

Trigger this skill when building applications with Gemma or for general knowledge inquiries related to Gemma models (e.g. prompt structure, capabilities). Covers model selection, development workflows, and deployment best practices.

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6
3 scripts/Checked
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